Evidence map›Paper›PMID 38532891›Full record

ReviewHealth psychology and behavioral medicine2023

The efficacy of theory of planned behavior to predict breast self-examination among women: systematic review and meta-Analysis.

Natnael Kebede, Asnakew Molla Mekonen, Mengistu Mera Mihiretu, Yawkal Tsega, Elsabeth Addisu, Niguss Cherie, Tesfaye Birhane, Zinet Abegaz, Abel Endawkie, Anissa Mohammed and 7 more

Abstract readReview
In one paragraph

Review in Health psychology and behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Natnael KebedeDepartment of Health Promotion, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie City, Ethiopia.
Asnakew Molla MekonenDepartment of health system management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie City, Ethiopia.
Mengistu Mera MihiretuDepartment of health system management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie City, Ethiopia.
Yawkal TsegaDepartment of health system management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie City, Ethiopia.
Elsabeth AddisuDepartment of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie City, Ethiopia.
Niguss CherieDepartment of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie City, Ethiopia.
Tesfaye BirhaneDepartment of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie City, Ethiopia.
Zinet AbegazDepartment of Reproductive and Family Health, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie City, Ethiopia.
Abel EndawkieDepartment of Epidemiology and Biostatistics, School of Public Health, Colleges of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
Anissa MohammedDepartment of Epidemiology and Biostatistics, School of Public Health, Colleges of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
Dagnachew MelakDepartment of Epidemiology and Biostatistics, School of Public Health, Colleges of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
Fekade Demeke BayouDepartment of Epidemiology and Biostatistics, School of Public Health, Colleges of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
Husniya YasinDepartment of Epidemiology and Biostatistics, School of Public Health, Colleges of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
Ahmed Hussien AsfawDepartment of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Aregash Abebayehu ZergaDepartment of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Birhanu WagayeDepartment of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Fanos Yeshanew AyeleDepartment of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Even though a few studies have been conducted, the result is inconsistent between studies. The Theory of Planned Behavior (TPB) is a widely used framework for predicting and understanding health behaviors. In the study area, the theory of planned behavior ability to predict breast self-examination among women was not done before. Therefore, this study aimed to determine the efficacy of the Theory of Planned Behavior to predict breast self-examination among women. Methods: This study used a systematic review and meta-analysis of studies conducted from 2008 to 2018 globally. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. PubMed, Semantic Scholar, Hinari, and Google Scholar electronic databases were searched. The analysis was performed using STATA 17 software. Heterogeneity and publication bias were assessed using forest plots, I Results: A total of 5 articles were included in this systematic review and meta-analysis. The overall Pooled Proportion of variance of the Theory of Planned Behavior ability to predict breast self-examination among women was explained at 38% (95%CI: 26.9, 49.1). Conclusions: The overall Pooled Proportion of variance explained by the Theory of Planned Behavior ability to predict breast self-examination among women was low as compared to the original assumption of variance explained. While the Theory of Planned Behavior provides a useful framework for understanding health behaviors, it may not fully capture all the complex factors contributing to breast self-examination. Additionally, future studies should consider using alternative measures of variance explained to provide a more comprehensive understanding of the predictive power of the theory of planned behavior.

Indexed as

Breast self-examinationmeta-analysissystematic reviewTheory of Planned Behavior

Identifiers

PMID38532891
PMCPMC10964825

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.